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Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described
BACKGROUND AND AIMS: Most of the instruments used to assess the quality of health information on the Web (e.g., the JAMA criteria) only analyze one dimension of information quality (IQ), trustworthiness. In this study, we analyzed the type of intervention that websites describe, whether supported by...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548082/ https://www.ncbi.nlm.nih.gov/pubmed/26380250 http://dx.doi.org/10.3389/fpubh.2015.00204 |
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author | Yaqub, Mubashar Ghezzi, Pietro |
author_facet | Yaqub, Mubashar Ghezzi, Pietro |
author_sort | Yaqub, Mubashar |
collection | PubMed |
description | BACKGROUND AND AIMS: Most of the instruments used to assess the quality of health information on the Web (e.g., the JAMA criteria) only analyze one dimension of information quality (IQ), trustworthiness. In this study, we analyzed the type of intervention that websites describe, whether supported by evidence-based medicine (EBM) or not, to provide a further dimension of IQ, accuracy, and correlated this with the established criteria. METHODS: We searched Google for “migraine cure” and analyzed the first 200 websites for: (1) JAMA criteria (authorship, attribution, disclosure, currency); (2) class of websites (commercial, health portals, professional, patient groups, no-profit); and (3) type of intervention described (approved drugs, alternative medicine, food, procedures, lifestyle, drugs still at the research stage). We used hierarchical cluster analysis to identify different patterns of websites according to their classification and the information provided. Subgroup analysis on the first 10 websites returned was performed. RESULTS: Google returned health portals (44%), followed by commercial websites (31%) and journalism websites (11%). The type of intervention mentioned most often was alternative medicine (55%), followed by procedures (49%), lifestyle (42%), food (41%), and approved drugs (35%). Cluster analysis indicated that health portals are more likely to describe more than one type of treatment while commercial websites most often describe only one. The average JAMA score of commercial websites was significantly lower than for health portals or journalism websites, and this was mainly due to lack of information on the authors of the text and indication of the date the information was written. Looking at the first 10 websites from Google, commercial websites are underrepresented and approved drugs overrepresented. CONCLUSION: Analyzing the type of therapies/prevention methods provides additional information to the trustworthiness measures, such as the JAMA score, and could be a convenient and objective indicator of websites whose information is based on EBM. |
format | Online Article Text |
id | pubmed-4548082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45480822015-09-14 Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described Yaqub, Mubashar Ghezzi, Pietro Front Public Health Public Health BACKGROUND AND AIMS: Most of the instruments used to assess the quality of health information on the Web (e.g., the JAMA criteria) only analyze one dimension of information quality (IQ), trustworthiness. In this study, we analyzed the type of intervention that websites describe, whether supported by evidence-based medicine (EBM) or not, to provide a further dimension of IQ, accuracy, and correlated this with the established criteria. METHODS: We searched Google for “migraine cure” and analyzed the first 200 websites for: (1) JAMA criteria (authorship, attribution, disclosure, currency); (2) class of websites (commercial, health portals, professional, patient groups, no-profit); and (3) type of intervention described (approved drugs, alternative medicine, food, procedures, lifestyle, drugs still at the research stage). We used hierarchical cluster analysis to identify different patterns of websites according to their classification and the information provided. Subgroup analysis on the first 10 websites returned was performed. RESULTS: Google returned health portals (44%), followed by commercial websites (31%) and journalism websites (11%). The type of intervention mentioned most often was alternative medicine (55%), followed by procedures (49%), lifestyle (42%), food (41%), and approved drugs (35%). Cluster analysis indicated that health portals are more likely to describe more than one type of treatment while commercial websites most often describe only one. The average JAMA score of commercial websites was significantly lower than for health portals or journalism websites, and this was mainly due to lack of information on the authors of the text and indication of the date the information was written. Looking at the first 10 websites from Google, commercial websites are underrepresented and approved drugs overrepresented. CONCLUSION: Analyzing the type of therapies/prevention methods provides additional information to the trustworthiness measures, such as the JAMA score, and could be a convenient and objective indicator of websites whose information is based on EBM. Frontiers Media S.A. 2015-08-25 /pmc/articles/PMC4548082/ /pubmed/26380250 http://dx.doi.org/10.3389/fpubh.2015.00204 Text en Copyright © 2015 Yaqub and Ghezzi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Yaqub, Mubashar Ghezzi, Pietro Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title | Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title_full | Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title_fullStr | Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title_full_unstemmed | Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title_short | Adding Dimensions to the Analysis of the Quality of Health Information of Websites Returned by Google: Cluster Analysis Identifies Patterns of Websites According to their Classification and the Type of Intervention Described |
title_sort | adding dimensions to the analysis of the quality of health information of websites returned by google: cluster analysis identifies patterns of websites according to their classification and the type of intervention described |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4548082/ https://www.ncbi.nlm.nih.gov/pubmed/26380250 http://dx.doi.org/10.3389/fpubh.2015.00204 |
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